VAK | Title | Type | SWS | Teachers | Degree |
---|---|---|---|---|---|
5.04.255Ü5 |
Programming course C++ (Programmierkurs C++)
Friday: 16:15 - 17:45, weekly (from 23/10/20), Übung Programmierkurs C++ Description: Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples |
Exercises | 2 |
Chinmay Chandratre Dr. Stefan Harfst |
|
5.04.4665 |
Modelling and Simulation
Tuesday: 15:45 - 19:00, weekly (from 20/10/20) Description: Contact: jann.strybny@hs-emden-leer.de arne.daniel@hs-emden-leer.de • Understanding of advanced fluid dynamics including three-dimensional, transient and compressible processes • Identifying the significant physical processes, defining the dimensionality and relevant scales in time and space • Theory of similarity, range of dimensionless numbers • Potential Theory • Numerical Algorithms and possibilities of independent coding of simplest mathematical models • Limitations of numerical models, risk of empirical approaches included in numerical models • Introduction of a complete chain of Open-Source-CFD-Tools, considering preprocessing, processing and postprocessing tools • Need and availability of appropriate measurement techniques for the steering, calibration and verification of models • Contactless high-resolving measuring techniques in the fluid dynamics • Limits of accuracy of different modelling and simulation concepts Contact: jann.strybny@hs-emden-leer.de arne.daniel@hs-emden-leer.de • Understanding of advanced fluid dynamics including three-dimensional, transient and compressible processes • Identifying the significant physical processes, defining the dimensionality and relevant scales in time and space • Theory of similarity, range of dimensionless numbers • Potential Theory • Numerical Algorithms and possibilities of independent coding of simplest mathematical models • Limitations of numerical models, risk of empirical approaches included in numerical models • Introduction of a complete chain of Open-Source-CFD-Tools, considering preprocessing, processing and postprocessing tools • Need and availability of appropriate measurement techniques for the steering, calibration and verification of models • Contactless high-resolving measuring techniques in the fluid dynamics • Limits of accuracy of different modelling and simulation concepts |
Lecture | 4 |
Jann Strybny Arne Daniel |
|
5.04.4660 |
Advanced Metrology
Tuesday: 14:00 - 16:00, weekly (from 20/10/20) Friday: 12:00 - 14:00, weekly (from 23/10/20) Description: |
Lecture | 2 |
Prof. Dr.-Ing. Philipp Huke |
|
5.04.646a |
Laboratory Project II - Laser & Optics
The course times are not decided yet.
Description: Project according to the subject of specialization Laser & Optics. - Laser and Optics (Emden): by arrangement, see list of experiments in "Dateien" in 5.04.637 Praktikum: Laboratory Project I Project according to the subject of specialization Laser & Optics. - Laser and Optics (Emden): by arrangement, see list of experiments in "Dateien" in 5.04.637 Praktikum: Laboratory Project I |
Practical | - |
Dr. rer. nat. Sandra Koch Sabine Tiedeken Prof. Dr.-Ing. Philipp Huke Prof. Dr. Walter Neu, Dipl.-Phys. Bert Struve Ulrich Teubner Markus Schellenberg Lars Jepsen Stefan Wild Georges Makdissi Volker Braun |
|
5.04.618 |
Mathematical Methods for Physics and Engineering I, lecture
Monday: 14:00 - 16:00, weekly (from 19/10/20) Friday: 12:00 - 14:00, weekly (from 23/10/20) Dates on Friday. 12.02.21 09:30 - 11:30 Description: Students obtain basic knowledge in application of mathematical methods to solve problems in physics and engineering - Vector algebra (vectors in 2- and 3-space, vector products, planes, lines, cylindrical and spherical coordinates) - Preliminary calculus (elementary functions, limits, series, differentiation, integration) - Preliminary complex analysis - Introduction to ordinary differential equations - Partial differentiation - Vector calculus (scalar and vector fields, vector operators, line, surface and volume integrals, divergence and Stokes’ theorem) Students obtain basic knowledge in application of mathematical methods to solve problems in physics and engineering - Vector algebra (vectors in 2- and 3-space, vector products, planes, lines, cylindrical and spherical coordinates) - Preliminary calculus (elementary functions, limits, series, differentiation, integration) - Preliminary complex analysis - Introduction to ordinary differential equations - Partial differentiation - Vector calculus (scalar and vector fields, vector operators, line, surface and volume integrals, divergence and Stokes’ theorem) |
Lecture | 8 |
PD Dr. Stefan Uppenkamp, Dipl.-Phys. |
|
5.06.M303 |
Final Excursion Renewable Energy (March 2021)
Thursday: 08:00 - 12:00, weekly (from 22/10/20) Thursday: 08:00 - 12:00, weekly (from 22/10/20) Description: In this seminar you will design an energy supply system for a typical consumer. Apart from the energy management aspects you will get insights in to site management, economical and social aspects of energy consumption. In this seminar you will design an energy supply system for a typical consumer. Apart from the energy management aspects you will get insights in to site management, economical and social aspects of energy consumption. |
Study trip | - |
Hans-Gerhard Holtorf, PhD Sandra-Sabrina Schwerz |
|
5.04.091a |
Seminar to Basic Laboratory (english)
Monday: 10:00 - 11:00, weekly (from 19/10/20) Description: XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" XXX von XXX Uhr: Extra Lecture "Error theory and regression analysis" |
Seminar | 2 |
Priv.-Doz. Dr. Michael Krüger David Hülsmeier-Reineke |
|
5.04.4588 Ü |
Seminar: Introduction to Transmission Electron Microscopy
Wednesday: 14:00 - 16:00, weekly (from 28/10/20) Wednesday: 14:15 - 15:45, weekly (from 28/10/20) Description: Im Rahmen der Veranstaltung werden grundlegende Aspekte der Elektronenmikroskopie (mit einem Schwerpunkt auf der Transmissions-Elektronenmikroskopie) vorgestellt. Themen umfassen u.a.: Elektronenquellen, elektronen-optische Elemente, Elektronendetektoren, Wellenoptik, elastische und inelastische Wechselwirkung schneller Elektronen mit Materialien, Interpretation Bildkontrast, Methoden der Elektronenmikroskopie, aktuelle Forschungsfelder in der Elektronenmikroskopie. In der begleitenden Übung werden neben „traditionellen“ Übungsaufgaben auch quantitative Modelle zur Beschreibung der elektronen-optischen Bildentstehung entwickelt und mittels Matlab-Skripten implementiert. Vorkenntnisse in Matlab-Skripting sind nicht notwendig. Eine Matlab-Einführung wird angeboten. Im Rahmen der Veranstaltung werden grundlegende Aspekte der Elektronenmikroskopie (mit einem Schwerpunkt auf der Transmissions-Elektronenmikroskopie) vorgestellt. Themen umfassen u.a.: Elektronenquellen, elektronen-optische Elemente, Elektronendetektoren, Wellenoptik, elastische und inelastische Wechselwirkung schneller Elektronen mit Materialien, Interpretation Bildkontrast, Methoden der Elektronenmikroskopie, aktuelle Forschungsfelder in der Elektronenmikroskopie. In der begleitenden Übung werden neben „traditionellen“ Übungsaufgaben auch quantitative Modelle zur Beschreibung der elektronen-optischen Bildentstehung entwickelt und mittels Matlab-Skripten implementiert. Vorkenntnisse in Matlab-Skripting sind nicht notwendig. Eine Matlab-Einführung wird angeboten. |
Exercises | - |
Dr. Vita Solovyeva Prof. Dr. Sascha Schäfer |
|
5.06.009 |
Evaluation PPRE EUREC WS 2020/21
The course times are not decided yet.
Description: For a continuous improvement of both PPRE (1st semester) and EUREC (core semster in Oldenburg), students are asked to evaluate the winter semester 2019/2020. For a continuous improvement of both PPRE (1st semester) and EUREC (core semster in Oldenburg), students are asked to evaluate the winter semester 2019/2020. |
Miscellaneous | - |
Dr. Herena Torio |
|
5.06.999 |
PPRE - Special appointments
Friday: 13:15 - 17:45, weekly (from 23/10/20), Grid-Connected RE Systems Dates on Thursday. 08.10.20 10:15 - 11:45 Description: for Special Appointments in PPRE: Introduction, preparation graduation, excursion, etc. / invited guest lectures / career service / etc. Takes only place after specific announcement! for Special Appointments in PPRE: Introduction, preparation graduation, excursion, etc. / invited guest lectures / career service / etc. Takes only place after specific announcement! |
Miscellaneous | - |
Eduard Knagge, Dipl.-Ing. Hans-Gerhard Holtorf, PhD Andreas Günther Dr. Herena Torio Cuauhtemoc Adrian Jimenez Martinez Dr. Robin Knecht |
|
5.04.638 Ü4 |
Exercises Mathematical Methods for Physics and Engineering III
Monday: 14:15 - 15:45, weekly (from 19/10/20) Description: |
Exercises | 2 |
Dr. Michele Guerrini |
|
5.06.M301 |
Case Study
Thursday: 08:00 - 12:00, weekly (from 22/10/20) Description: In this seminar you will design an energy supply system for a typical consumer. Apart from the energy management aspects you will get insights in to site management, economical and social aspects of energy consumption. In this seminar you will design an energy supply system for a typical consumer. Apart from the energy management aspects you will get insights in to site management, economical and social aspects of energy consumption. |
Seminar | - |
Hans-Gerhard Holtorf, PhD Dr. Elke Lorenz |
|
5.06.M117 |
Energy Meteorology
Tuesday: 10:15 - 11:45, weekly (from 20/10/20) Dates on Thursday. 28.01.21 08:30 - 10:00 Description: |
Lecture | 2 |
Dr. Detlev Heinemann |
|
5.04.612Ü2 |
Exercises Mechanics
Friday: 08:15 - 09:45, weekly (from 23/10/20) Description: |
Exercises | - |
M. Sc. Apostolos Langidis Prof. Dr. Martin Kühn |
|
5.06.M305 |
Report & Presentation External Training
The course times are not decided yet.
Description: |
Seminar | - |
Dr. Herena Torio |
|
5.04.255 |
Programming course C++ (Programmierkurs C++ VL)
Monday: 14:00 - 16:00, weekly (from 19/10/20) Dates on Monday. 22.02.21 14:00 - 15:00 Description: Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples |
Lecture | 2 |
Dr. Stefan Harfst |
|
5.04.4213 Ü2 |
Machine Learning I - Probabilistic Unsupervised Learning
Tuesday: 16:00 - 18:00, weekly (from 27/10/20) Description: |
Exercises | - |
Florian Hirschberger Prof. Dr. Jörg Lücke |
|
5.04.652 |
Hyperloop Technologies
Tuesday: 10:15 - 11:45, weekly (from 03/11/20), weekly event Dates on Monday. 12.10.20 18:00 - 19:00, Tuesday. 20.10.20 18:00 - 20:00, Monday. 26.10.20, Monday. 09.11.20, Monday. 23.11.20, Monday. 07.12.20 18:00 - 19:00 Description: This is the Bachelor course. The Module "Hyperloop Technologies" is recommended for 3rd Semester students and above, although there are also some projects for earlier semesters available. For the Master course search for "Hyperloop Engineering". The module Hyperloop Technologies (PB / Specialization module, e.g. Lab Project II; 6CP) in the upcoming winter term will be held in collaboration with the Eidgenössische Technische Hochschule (ETH) Zürich. Part of the course will be an online seminar with presentations from students and industry experts about state-of-the-art research topics on Hyperloop Technology. The course grading will be completed by a project e.g. a written report including the assessment of a presented topic or a report or presentation about a new topic of Hyperloop technology. Details: The Seminar with the ETH Zürich will start on the 12.10.2020 18:00-19:00 and will be held biweekly (26.10. / 09.11. / 23.11. / 07.12.). For further information visit: http://www.hyperpodx.com/seminar/ The topics for the projects, e.g. lab projects, reports and presentations will be discussed in an additional meeting. More available research projects will be announced soon on the website: http://www.hyperpodx.com/students/ This is the Bachelor course. The Module "Hyperloop Technologies" is recommended for 3rd Semester students and above, although there are also some projects for earlier semesters available. For the Master course search for "Hyperloop Engineering". The module Hyperloop Technologies (PB / Specialization module, e.g. Lab Project II; 6CP) in the upcoming winter term will be held in collaboration with the Eidgenössische Technische Hochschule (ETH) Zürich. Part of the course will be an online seminar with presentations from students and industry experts about state-of-the-art research topics on Hyperloop Technology. The course grading will be completed by a project e.g. a written report including the assessment of a presented topic or a report or presentation about a new topic of Hyperloop technology. Details: The Seminar with the ETH Zürich will start on the 12.10.2020 18:00-19:00 and will be held biweekly (26.10. / 09.11. / 23.11. / 07.12.). For further information visit: http://www.hyperpodx.com/seminar/ The topics for the projects, e.g. lab projects, reports and presentations will be discussed in an additional meeting. More available research projects will be announced soon on the website: http://www.hyperpodx.com/students/ |
Project | 2 |
Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr.-Ing. Thomas Schüning |
|
5.04.638 Ü2 |
Exercises Mathematical Methods for Physics and Engineering III
Monday: 14:15 - 15:45, weekly (from 26/10/20) Description: |
Exercises | 2 |
Reza Varzandeh |
|
5.04.638 Ü3 |
Exercises Mathematical Methods for Physics and Engineering III
Monday: 16:15 - 17:45, weekly (from 26/10/20) Description: |
Exercises | 2 |
Meritxell Villén Basco |
|
5.06.M121 |
Photovoltaics
The course times are not decided yet.
Description: Die Veranstaltung findet online statt. Die Veranstaltung findet online statt. |
Lecture | - |
Dr. Robin Knecht |
|
5.04.618 - T |
Tutorenseminar: Mathematical Methods for Physics and Engineering I, lecture
The course times are not decided yet.
Description: Seminar für BetreuerInnen und TutorInnen zu Mathematical Methods for Physics and Engineering I, lecture Seminar für BetreuerInnen und TutorInnen zu Mathematical Methods for Physics and Engineering I, lecture |
Seminar | - |
PD Dr. Stefan Uppenkamp, Dipl.-Phys. |
|
5.06.M111 |
Heat Transfer
Monday: 13:00 - 17:45, weekly (from 19/10/20) Tuesday: 13:00 - 17:45, weekly (from 20/10/20) Thursday: 13:00 - 17:45, weekly (from 22/10/20) Description: |
Practical | - |
Andreas Günther |
|
5.06.M119 |
Energy Systems
Wednesday: 10:00 - 12:00, weekly (from 21/10/20) Dates on Saturday. 30.01.21 10:15 - 11:45 Description: %%Discussion of the following questions:%% - How to supply energy to all people? - How will energy production/consumption look like in the future? - What are the available resources? - Which technologies will be available? - What are the conditions? - How can energy be used in human-friendly manner? %%Topics:%% Energy basics, energy resources, global energy overview, energy scenarios, techno-economic aspects of energy use (external costs, life cycle analysis, ..), environmental effects of energy use (greenhouse gas emissions, ozone, ..), conventional and advanced power plant technologies, power distribution, advanced storage technologies, solar thermal power plants, geothermal and ocean energies %%Discussion of the following questions:%% - How to supply energy to all people? - How will energy production/consumption look like in the future? - What are the available resources? - Which technologies will be available? - What are the conditions? - How can energy be used in human-friendly manner? %%Topics:%% Energy basics, energy resources, global energy overview, energy scenarios, techno-economic aspects of energy use (external costs, life cycle analysis, ..), environmental effects of energy use (greenhouse gas emissions, ozone, ..), conventional and advanced power plant technologies, power distribution, advanced storage technologies, solar thermal power plants, geothermal and ocean energies |
Lecture | 2 |
Dr. Detlev Heinemann |
|
5.06.M313 |
Biomass Energy
Friday: 08:00 - 10:00, weekly (from 23/10/20) Dates on Friday. 29.01.21 15:00 - 17:00 Description: The students will understand the principles and potential uses for biomass as well as the shortcomings of biomass as a renewable energy. The students will develop an understanding of the growth and degradation of every type of biomass, as well as the basics of a balanced ecosystem and the sustainable use of biomass. Students gain basic understanding on biomass processing technologies. In cooperation with the Energy Systems & Society Module, one shall gain an understanding of the connection between man and the function of a healthy ecosystem and its preservation. Competence: The students gain competencies with critical discourse of competitive uses of biomass between human consumption, animal feed, raw material and fuel. The students are taught the issues concerning biomass transportation as well as the economic and ecological criteria involving its planning and use. They develop criteria, in order to address the complex relation between the future and a sustainable energy supply. The students gain competence to better the living conditions of rural inhabitants in developing countries through improved applications of biomass for daily energy needs. Content: Basic Understanding of: • Nature or photosynthesis: chemical storage of solar energy; Efficiency of Plants • Composition of biomass: sugar, starch, fat, oils, protein, lignin • Knowledge of typical crop yield and energy content of various plants • Typical energy crops in different climates • Form and distribution of biomass uses in different geographic and climatic regions • Traditional and modern energetic uses of biomass as well as the efficiency and technology • Degradation process of biomass: Microorganisms, classification and metabolism (main degradation) Sustainable Biomass Use • Soil fertility, decrease and destruction of natural fertility • Soil ecology • Growth and diversity of biomass • Roll of the microorganism in the metabolic cycle Technology The guiding theme are the principles of traditional and modern energetic use of biomass, the constraints and efficiencies for food preparation, transport, and thermal and electrical energy production • Biomass cookers, Improved Cook Stoves • Wood gasification • Biogas equipment • Biodiesel production • Ethanol production from sugarcane • Methanol production The students will understand the principles and potential uses for biomass as well as the shortcomings of biomass as a renewable energy. The students will develop an understanding of the growth and degradation of every type of biomass, as well as the basics of a balanced ecosystem and the sustainable use of biomass. Students gain basic understanding on biomass processing technologies. In cooperation with the Energy Systems & Society Module, one shall gain an understanding of the connection between man and the function of a healthy ecosystem and its preservation. Competence: The students gain competencies with critical discourse of competitive uses of biomass between human consumption, animal feed, raw material and fuel. The students are taught the issues concerning biomass transportation as well as the economic and ecological criteria involving its planning and use. They develop criteria, in order to address the complex relation between the future and a sustainable energy supply. The students gain competence to better the living conditions of rural inhabitants in developing countries through improved applications of biomass for daily energy needs. Content: Basic Understanding of: • Nature or photosynthesis: chemical storage of solar energy; Efficiency of Plants • Composition of biomass: sugar, starch, fat, oils, protein, lignin • Knowledge of typical crop yield and energy content of various plants • Typical energy crops in different climates • Form and distribution of biomass uses in different geographic and climatic regions • Traditional and modern energetic uses of biomass as well as the efficiency and technology • Degradation process of biomass: Microorganisms, classification and metabolism (main degradation) Sustainable Biomass Use • Soil fertility, decrease and destruction of natural fertility • Soil ecology • Growth and diversity of biomass • Roll of the microorganism in the metabolic cycle Technology The guiding theme are the principles of traditional and modern energetic use of biomass, the constraints and efficiencies for food preparation, transport, and thermal and electrical energy production • Biomass cookers, Improved Cook Stoves • Wood gasification • Biogas equipment • Biodiesel production • Ethanol production from sugarcane • Methanol production |
Lecture | 2 |
Prof. Dr. Michael Wark, Dipl.-Chem. Dr.-Ing. Alexandra Pehlken |
|
5.04.641 |
Production Engineering
Monday: 08:00 - 10:00, weekly (from 19/10/20) Dates on Monday. 18.01.21 08:00 - 09:30 Description: Aim: Achieving basic knowledge on how to produce objects with defined geometry and properties in an effective and economic way. Content: Overview on manufacturing technologies, like Casting and other primary shaping processes Plastic deformation processes Cutting and separating processes Joining processes Coating processes Changing material properties Aim: Achieving basic knowledge on how to produce objects with defined geometry and properties in an effective and economic way. Content: Overview on manufacturing technologies, like Casting and other primary shaping processes Plastic deformation processes Cutting and separating processes Joining processes Coating processes Changing material properties |
Lecture | 2 |
Prof. Dr.-Ing. Florian Schmidt |
|
5.04.4013 |
Current trends in Gravitation
Tuesday: 14:00 - 16:00, weekly (from 20/10/20) Dates on Tuesday. 05.01.21 14:00 - 16:00 Description: Die Studierenden erhalten Einblick in die aktuellen Fragestellungen und Forschungsthemen im Bereich der Gravitation. Dabei lernen sie neue Untersuchungsmethoden und Forschungsergebnisse kennen und erweitern ihre Kompetenzen bezüglich der kritischen Diskussion der wissenschaftlichen Methoden und Ergebnisse. Die Studierenden erhalten Einblick in die aktuellen Fragestellungen und Forschungsthemen im Bereich der Gravitation. Dabei lernen sie neue Untersuchungsmethoden und Forschungsergebnisse kennen und erweitern ihre Kompetenzen bezüglich der kritischen Diskussion der wissenschaftlichen Methoden und Ergebnisse. |
Seminar | - |
Prof. Dr. Jutta Kunz-Drolshagen Prof. Dr. Betti Hartmann |
|
5.04.6611 |
Advanced Optical Spectroscopy
Tuesday: 12:00 - 14:00, weekly (from 20/10/20) Description: The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module phy632 Spectrophysics. It is offered parallel with the seminar 5.04.6610 "Modern Methods in Optical Microscopy (depending on the amount of participants, examination: presentation in each part). 5.04.6610 and 5.04.4052 - Kohärente Optik build the module phy683 - Advanced Topics in Laser and Optics. The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module phy632 Spectrophysics. It is offered parallel with the seminar 5.04.6610 "Modern Methods in Optical Microscopy (depending on the amount of participants, examination: presentation in each part). 5.04.6610 and 5.04.4052 - Kohärente Optik build the module phy683 - Advanced Topics in Laser and Optics. |
Seminar | 2 |
Markus Schellenberg Dr. rer. nat. Sandra Koch Prof. Dr. Walter Neu, Dipl.-Phys. |
|
5.04.4675 |
Optical Simulation and Modelling (Zemax)
Monday: 17:00 - 19:00, weekly (from 19/10/20) Description: lecture and project lecture and project |
Lecture | - |
Prof. Dr. Walter Neu, Dipl.-Phys. |
|
5.04.4251 |
Perturbation Theory in Gravity
Monday: 15:15 - 16:45, weekly (from 26/10/20) Thursday: 11:15 - 12:45, weekly (from 29/10/20) Description: Die Vorlesung vermittelt grundlegende Kenntnisse auf dem Gebiet der Störungstheorie, insbesondere Störungen der Metrik und anderer Felder in der Gravitationstheorie. Es wird gezeigt, wie Störungen der Feldgleichungen hergeleitet und die erhaltenen Gleichungen gelöst werden, um Störungen der exakten Lösungen zu erhalten. Darüber hinaus wird vermittelt, in welchen Bereichen der Gravitationstheorie – astrophysikalische Skalen, Kosmologie, Gravitationswellen – diese Methoden angewandt werden können. Die Vorlesung vermittelt grundlegende Kenntnisse auf dem Gebiet der Störungstheorie, insbesondere Störungen der Metrik und anderer Felder in der Gravitationstheorie. Es wird gezeigt, wie Störungen der Feldgleichungen hergeleitet und die erhaltenen Gleichungen gelöst werden, um Störungen der exakten Lösungen zu erhalten. Darüber hinaus wird vermittelt, in welchen Bereichen der Gravitationstheorie – astrophysikalische Skalen, Kosmologie, Gravitationswellen – diese Methoden angewandt werden können. |
Lecture | - |
Dr. rer. nat. Manuel Hohmann |
|
5.04.4061 |
Wind Energy Physics
Thursday: 10:00 - 12:00, weekly (from 22/10/20) Description: Physical properties of fluids, wind characterization and anemometers, aerodynamic aspects of wind energy conversion, dimensional analysis, (pi-theorem), and wind turbine performance, design of wind turbines, electrical systems. Physical properties of fluids, wind characterization and anemometers, aerodynamic aspects of wind energy conversion, dimensional analysis, (pi-theorem), and wind turbine performance, design of wind turbines, electrical systems. |
Lecture | 2 |
Prof. Dr. Joachim Peinke |
|
5.04.255Ü3 |
Programming course C++ (Programmierkurs C++)
Friday: 12:15 - 13:45, weekly (from 23/10/20), Übung Programmierkurs C++ Description: Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples |
Exercises | 2 |
TutorInnen, der Physik Dr. Stefan Harfst |
|
5.04.638 Ü5 |
Exercises Mathematical Methods for Physics and Engineering III
Monday: 14:15 - 15:45, weekly (from 19/10/20) Description: |
Exercises | 2 |
Dr. Maartje Hendrikse |
|
5.04.4661 |
Spectrophysics
Tuesday: 08:00 - 10:00, weekly (from 20/10/20) Description: The module phy632 Spectrophysics is offered during the winter semester. The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module. Students gain in depth theoretical as experimental knowledge on advanced optical spectroscopy applied to atomic and molecular systems. They are qualified in setting up innovative methods and measurement devices based on their expert competence in up-to-date research and development areas. The course prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Atomic structure and atomic spectra, molecular structure and molecular spectra, emission and absorption, width and shape of spectral lines, radiative transfer and transition probabilities, elementary plasma spectroscopy, experimental tools in spectroscopy, dispersive and interferometric spectrometers, light sources and detectors, laser spectroscopy, nonlinear spectroscopy, molecular spectroscopy, time resolved spectroscopy, coherent spectroscopy The module phy632 Spectrophysics is offered during the winter semester. The seminar 5.04.6611 Advanced Optical Spectroscopy is part of the module. Students gain in depth theoretical as experimental knowledge on advanced optical spectroscopy applied to atomic and molecular systems. They are qualified in setting up innovative methods and measurement devices based on their expert competence in up-to-date research and development areas. The course prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Atomic structure and atomic spectra, molecular structure and molecular spectra, emission and absorption, width and shape of spectral lines, radiative transfer and transition probabilities, elementary plasma spectroscopy, experimental tools in spectroscopy, dispersive and interferometric spectrometers, light sources and detectors, laser spectroscopy, nonlinear spectroscopy, molecular spectroscopy, time resolved spectroscopy, coherent spectroscopy |
Lecture | - |
Prof. Dr. Walter Neu, Dipl.-Phys. |
|
5.04.612Ü4 |
Exercises Mechanics
Friday: 10:15 - 11:45, weekly (from 23/10/20) Description: |
Exercises | 2 |
Mohamed Ibrahim Prof. Dr. Martin Kühn |
|
5.04.4203 |
Angewandte Psychophysik
Wednesday: 16:00 - 18:00, weekly (from 21/10/20) Description: Detailed knowledge of the theoretical concepts underlying listening tests and of modern designs of listening tests. Knowledge about human auditory perception and its application in e.g. vehicle acoustics and digital signal processing. Subjective listening experiment design and models of human auditory perception will be treated with a focus on application in sound quality measurement (e.g. for vehicle noise and sound reproduction) and in digital signal processing algorithm development (e.g. for low bit-rate audio coding and headphone virtualizers). Detailed knowledge of the theoretical concepts underlying listening tests and of modern designs of listening tests. Knowledge about human auditory perception and its application in e.g. vehicle acoustics and digital signal processing. Subjective listening experiment design and models of human auditory perception will be treated with a focus on application in sound quality measurement (e.g. for vehicle noise and sound reproduction) and in digital signal processing algorithm development (e.g. for low bit-rate audio coding and headphone virtualizers). |
Lecture | - |
Prof. Dr. Steven van de Par |
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5.04.624c |
Introduction to Renewable Energies
Wednesday: 12:00 - 14:00, weekly (from 21/10/20) Description: Introduction into the areas of renewable energies, with special emphasis on the physics of energy conversion and utilization, based on complex physical models. The student will be able to understand the fundamental principles of the field renewable energies. Contents: Energy supply and demand; energy use & climate change, energy resources; renewable energy sources (resources, technology & application): photovoltaics, solar thermal systems and power plants, wind power, hydropower, geothermal energy, biomass; hydrogen technology and fuel cells; energy storage; sustainable energy supply. Introduction into the areas of renewable energies, with special emphasis on the physics of energy conversion and utilization, based on complex physical models. The student will be able to understand the fundamental principles of the field renewable energies. Contents: Energy supply and demand; energy use & climate change, energy resources; renewable energy sources (resources, technology & application): photovoltaics, solar thermal systems and power plants, wind power, hydropower, geothermal energy, biomass; hydrogen technology and fuel cells; energy storage; sustainable energy supply. |
Lecture | 2 |
Prof. Dr. Martin Kühn Dr. Detlev Heinemann |
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5.06.M127 |
Energy Storage
Dates on Friday. 20.11.20 10:00 - 12:00, Friday. 20.11.20 15:30 - 18:00, Monday. 23.11.20, Thursday. 26.11.20 - Friday. 27.11.20 10:00 ...(more)
Description: The lecture course, held by Prof. R. Steinberger, introduces Hydrogen as Energy carrier and fuel cells as efficient, emmission-free energy converters. The lecture course, held by Prof. R. Steinberger, introduces Hydrogen as Energy carrier and fuel cells as efficient, emmission-free energy converters. |
Lecture | - |
Hans-Gerhard Holtorf, PhD Prof. Dr. Robert Steinberger-Wilckens |
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5.04.4207 |
Processing and analysis of biomedical data
Monday: 08:00 - 10:00, weekly (from 19/10/20) Thursday: 08:00 - 10:00, weekly (from 22/10/20) Dates on Friday. 12.02.21 09:00 - 11:00 Description: This course introduces basic concepts of statistics and signal processing and applies them to real-world examples of bio-medical data. In the second part of the course, recorded datasets are noise-reduced, analyzed, and discussed in views of which statistical tests and analysis methods are appropriate for the underlying data. The course forms a bridge between theory and application and offers the students the means and tools to set up and analyze their future datasets in a meaningful manner. content: Normal distributions and significance testing, Monte-Carlo bootstrap techniques, Linear regression, Correlation, Signal-to-noise estimation, Principal component analysis, Confi-dence intervals, Dipole source analysis, Analysis of variance Each technique is explained, tested and discussed in the exercises. This course introduces basic concepts of statistics and signal processing and applies them to real-world examples of bio-medical data. In the second part of the course, recorded datasets are noise-reduced, analyzed, and discussed in views of which statistical tests and analysis methods are appropriate for the underlying data. The course forms a bridge between theory and application and offers the students the means and tools to set up and analyze their future datasets in a meaningful manner. content: Normal distributions and significance testing, Monte-Carlo bootstrap techniques, Linear regression, Correlation, Signal-to-noise estimation, Principal component analysis, Confi-dence intervals, Dipole source analysis, Analysis of variance Each technique is explained, tested and discussed in the exercises. |
Lecture | 2 |
Thomas Brand PD Dr. Stefan Uppenkamp, Dipl.-Phys. Dr. Stephan Ewert, Dipl.-Phys. |
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5.04.612Ü1 |
Exercises Mechanics
Friday: 08:15 - 09:45, weekly (from 23/10/20) Description: |
Exercises | 2 |
Niklas Brandt Prof. Dr. Martin Kühn |
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5.04.256b |
Introduction to Matlab
Tuesday: 10:00 - 12:00, weekly (from 20/10/20) Friday: 10:00 - 12:00, weekly (from 23/10/20) Dates on Tuesday. 26.01.21, Friday. 29.01.21 10:00 - 12:15, Tuesday. 02.02.21 10:00 - 10:45 Description: This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. It contains a lecture (Tuesdays) and an exercise (Fridays). There will be a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. It contains a lecture (Tuesdays) and an exercise (Fridays). There will be a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming |
Lecture | - |
Markus Schellenberg |
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5.06.M107 |
Energy Storage
Monday: 13:00 - 18:00, weekly (from 19/10/20) Tuesday: 13:00 - 18:00, weekly (from 20/10/20) Thursday: 13:00 - 18:00, weekly (from 22/10/20) Description: |
Practical | - |
Cuauhtemoc Adrian Jimenez Martinez |
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5.04.4213 |
Machine Learning I - Probabilistic Unsupervised Learning
Tuesday: 16:00 - 18:00, weekly (from 20/10/20) Wednesday: 10:00 - 12:00, weekly (from 21/10/20) Description: The field of Machine Learning develops and provides methods for the analysis of data and signals. Typical application domains are computer hearing, computer vision, general pattern recognition and large-scale data analysis (recently often termed "Big Data"). Furthermore, Machine Learning methods serve as models for information processing and learning in humans and animals, and are often considered as part of artificial intelligence approaches. This course gives an introduction to unsupervised learning methods, i.e., methods that extract knowledge from data without the requirement of explicit knowledge about individual data points. We will introduce a common probabilistic framework for learning and a methodology to derive learning algorithms for different types of tasks. Examples that are derived are algorithms for clustering, classification, component extraction, feature learning, blind source separation and dimensionality reduction. Relations to neural network models and learning in biological systems will be discussed were appropriate. The course requires some programming skills, preferably in Matlab or Python. Further requirements are typical mathematical / analytical skills that are taught as part of Bachelor degrees in Physics, Mathematics, Statistics, Computer and Engineering Sciences. Course assignments will include analytical tasks and programming task which can be worked out in small groups. The presented approach to unsupervised learning relies on Bayes' theorem and is therefore sometimes referred to as a Bayesian approach. It has many interesting relations to physics (e.g., statistical physics), statistics and mathematics (analysis, probability theory, stochastic) but the course's content will be developed independently of detailed prior knowledge in these fields. Weblink: www.uni-oldenburg.de/ml The field of Machine Learning develops and provides methods for the analysis of data and signals. Typical application domains are computer hearing, computer vision, general pattern recognition and large-scale data analysis (recently often termed "Big Data"). Furthermore, Machine Learning methods serve as models for information processing and learning in humans and animals, and are often considered as part of artificial intelligence approaches. This course gives an introduction to unsupervised learning methods, i.e., methods that extract knowledge from data without the requirement of explicit knowledge about individual data points. We will introduce a common probabilistic framework for learning and a methodology to derive learning algorithms for different types of tasks. Examples that are derived are algorithms for clustering, classification, component extraction, feature learning, blind source separation and dimensionality reduction. Relations to neural network models and learning in biological systems will be discussed were appropriate. The course requires some programming skills, preferably in Matlab or Python. Further requirements are typical mathematical / analytical skills that are taught as part of Bachelor degrees in Physics, Mathematics, Statistics, Computer and Engineering Sciences. Course assignments will include analytical tasks and programming task which can be worked out in small groups. The presented approach to unsupervised learning relies on Bayes' theorem and is therefore sometimes referred to as a Bayesian approach. It has many interesting relations to physics (e.g., statistical physics), statistics and mathematics (analysis, probability theory, stochastic) but the course's content will be developed independently of detailed prior knowledge in these fields. Weblink: www.uni-oldenburg.de/ml |
Lecture | 4 |
Prof. Dr. Jörg Lücke |
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5.04.641a |
Lasers in Medicine II
Friday: 08:00 - 10:00, weekly (from 23/10/20) Description: The students are able to analyze and model in depth optical properties of biotissue. They can explain laser-tissue interaction in depth. The students are able to design and evaluate medical laser systems and assign specific therapeutical areas. Special emphasis is put into dosimetry and minimal invasive techniques. An excursion to a university clinic enables the students to transfer the acquired course knowledge to practical experience. Topics are... - Light propagation in biotissue - Optical diagnostics and imaging, simulation, computer modelling - Photochemical, photothermal, photomechanical interaction mechanisms - Minimal invasive surgical therapies - Medical laser applications - Lasers in clinical diagnostics - Dosimetry - Excursion to a clinic; clinical laser applications The students are able to analyze and model in depth optical properties of biotissue. They can explain laser-tissue interaction in depth. The students are able to design and evaluate medical laser systems and assign specific therapeutical areas. Special emphasis is put into dosimetry and minimal invasive techniques. An excursion to a university clinic enables the students to transfer the acquired course knowledge to practical experience. Topics are... - Light propagation in biotissue - Optical diagnostics and imaging, simulation, computer modelling - Photochemical, photothermal, photomechanical interaction mechanisms - Minimal invasive surgical therapies - Medical laser applications - Lasers in clinical diagnostics - Dosimetry - Excursion to a clinic; clinical laser applications |
Lecture | - |
Prof. Dr. Walter Neu, Dipl.-Phys. |
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5.04.4586 |
Advanced Topics Speech and Audio Processing
Monday: 14:00 - 16:00, weekly (from 19/10/20) Thursday: 10:00 - 12:00, weekly (from 22/10/20) Description: The students will gain in-depth knowledge on the subjects’ speech and audio processing. The practical part of the course mediates insight about important properties of the methods treated in a self-study approach, while the application and transfer of theoretical concepts to practical applications is gained by implementing algorithms on a computer. content: After reviewing the basic principles of speech processing and statistical signal processing (adaptive filtering, estimation theory), this course covers techniques and underlying algorithms that are essential in many modern-day speech communication and audio processing systems (e.g. mobile phones, hearing aids, headphones): acoustic echo and feedback cancellation, noise reduction, dereverberation, microphone and loudspeaker array processing, active noise control. During the exercises a typical hands-free speech communication or audio processing system is implemented (in Matlab). The students will gain in-depth knowledge on the subjects’ speech and audio processing. The practical part of the course mediates insight about important properties of the methods treated in a self-study approach, while the application and transfer of theoretical concepts to practical applications is gained by implementing algorithms on a computer. content: After reviewing the basic principles of speech processing and statistical signal processing (adaptive filtering, estimation theory), this course covers techniques and underlying algorithms that are essential in many modern-day speech communication and audio processing systems (e.g. mobile phones, hearing aids, headphones): acoustic echo and feedback cancellation, noise reduction, dereverberation, microphone and loudspeaker array processing, active noise control. During the exercises a typical hands-free speech communication or audio processing system is implemented (in Matlab). |
Lecture | - |
Prof. Dr. Simon Doclo |
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5.04.6610 |
Modern Methods in Optical Microscopy
Tuesday: 12:00 - 14:00, weekly (from 20/10/20), online Description: The seminar 5.04.6610 Modern Methods in Optical Microscopy and the lecture 5.04.4052 Kohärente Optik are part of the module phy683 Advanced Topics in Laser & Optics. The seminar might be offered parallel with the seminar 5.04.6611 Advanced Optical Spectroscopy (depending on the amount of participants). The examination in both parts is a presentation. The participation in both seminar is possible. - Demonstrate knowledge, fundamental understanding and critical awareness of current research fields in state-of-the-art optical microscopy. - Personal development through practice of communication, presentation, time management, teamwork, problem solving, project management, critical evaluation, numeracy, and IT skills. - Students are able to prepare a written scientific report on their own and present their results in an appropriate way to the group; in particular to understand, analyze, classify and work on an advanced microscopy topic, thoroughly study the recommended (and further) literature; find and critically check relevant literature make and incorporate their own thoughts, write down and present their results in a mathematically correct and comprehensible way, finish in time. Topics to be covered will include: microscopy, wave optics, optical imaging, spatial/temporal coherence, light generation/detection, e.g.: - Confocal microscopy - Superresolution microscopy - Single Molecule Imaging - Imaging of living tissue - Raman microscopy - Stochastic microscopy The seminar 5.04.6610 Modern Methods in Optical Microscopy and the lecture 5.04.4052 Kohärente Optik are part of the module phy683 Advanced Topics in Laser & Optics. The seminar might be offered parallel with the seminar 5.04.6611 Advanced Optical Spectroscopy (depending on the amount of participants). The examination in both parts is a presentation. The participation in both seminar is possible. - Demonstrate knowledge, fundamental understanding and critical awareness of current research fields in state-of-the-art optical microscopy. - Personal development through practice of communication, presentation, time management, teamwork, problem solving, project management, critical evaluation, numeracy, and IT skills. - Students are able to prepare a written scientific report on their own and present their results in an appropriate way to the group; in particular to understand, analyze, classify and work on an advanced microscopy topic, thoroughly study the recommended (and further) literature; find and critically check relevant literature make and incorporate their own thoughts, write down and present their results in a mathematically correct and comprehensible way, finish in time. Topics to be covered will include: microscopy, wave optics, optical imaging, spatial/temporal coherence, light generation/detection, e.g.: - Confocal microscopy - Superresolution microscopy - Single Molecule Imaging - Imaging of living tissue - Raman microscopy - Stochastic microscopy |
Seminar | 2 |
Markus Schellenberg Prof. Dr. Walter Neu, Dipl.-Phys. Dr. rer. nat. Sandra Koch |
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5.06.M303 |
Final Excursion Renewable Energy
Wednesday: 14:00 - 18:00, weekly (from 21/10/20) Dates on Wednesday. 09.12.20 15:15 - 18:45 Description: Compulsory for PPRE Master-Students. Part of the Modul: Renewable Energy Project Compulsory for PPRE Master-Students. Part of the Modul: Renewable Energy Project |
Study trip | - |
Hans-Gerhard Holtorf, PhD Sandra-Sabrina Schwerz |
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5.04.609 |
Material Sciences
Thursday: 08:00 - 12:00, weekly (from 22/10/20) Description: The students are able - outgoing from the microscopic structure of engineering materials - to understand its macroscopic properties, so that they are able to involve the behaviour of engineering materials into engineering requirements independently Content: Introduction Classification of engineering materials in groups Constitution of engineering materials (microscopic structure, macroscopic properties) Physical basics of constitution: Constitution of single phase solids (crystals, amorphous materials, real materials) Constitution of multi-phase materials Basic diagrams of constitution of binary alloys Crystallisation Diffusion Properties of materials Physical properties Mechanical properties (plastic deformation, crack growth, friction, wear) Groups of materials (metals, ceramics, polymers) Selected materials (iron, aluminium, copper) Testing of materials (an overview of methods) The students are able - outgoing from the microscopic structure of engineering materials - to understand its macroscopic properties, so that they are able to involve the behaviour of engineering materials into engineering requirements independently Content: Introduction Classification of engineering materials in groups Constitution of engineering materials (microscopic structure, macroscopic properties) Physical basics of constitution: Constitution of single phase solids (crystals, amorphous materials, real materials) Constitution of multi-phase materials Basic diagrams of constitution of binary alloys Crystallisation Diffusion Properties of materials Physical properties Mechanical properties (plastic deformation, crack growth, friction, wear) Groups of materials (metals, ceramics, polymers) Selected materials (iron, aluminium, copper) Testing of materials (an overview of methods) |
Lecture | 4 |
Prof. Dr. Olaf Helms Prof. Dr.-Ing. Martin Lünemann |
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5.04.4587 |
Advanced CFD and wind turbine aerodynamics
Wednesday: 14:00 - 16:00, weekly (from 21/10/20) Description: The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation |
Seminar | 2 |
Dr. Bernhard Stoevesandt |
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5.04.4673 |
Hyperloop Engineering
Tuesday: 10:15 - 11:45, weekly (from 10/11/20), Please have a look at the Module Hyperloop Technologies Dates on Monday. 12.10.20 18:00 - 19:00, Thursday. 22.10.20 18:30 - 20:00, Monday. 26.10.20, Monday. 09.11.20, Monday. 23.11.20, Monday. 07.12.20 18:00 - 19:00 Description: Das erste Treffen findet nach Vereinbarung statt. Die Kommunikation erfolgt virtuell. Alle 2 Wochen findet ein gemeinsames Seminar mit Vorträgen mit der ETH Zürich statt, bei denen Forschungsthemen vorgestellt werden. (12.10-08.12. jeweils 18:00-19:00) This is the Master course, for the Bachelor course search for "Hyperloop Technologies" Das erste Treffen findet nach Vereinbarung statt. Die Kommunikation erfolgt virtuell. Alle 2 Wochen findet ein gemeinsames Seminar mit Vorträgen mit der ETH Zürich statt, bei denen Forschungsthemen vorgestellt werden. (12.10-08.12. jeweils 18:00-19:00) This is the Master course, for the Bachelor course search for "Hyperloop Technologies" |
Forschungsseminare | - |
Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr.-Ing. Thomas Schüning |
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5.06.M307 |
Report & Presentation External Training
Wednesday: 10:00 - 12:00, weekly (from 21/10/20) Description: |
Seminar | 2 |
Dr. Herena Torio |
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5.04.4073 |
Interdisciplinary Topics in Fluid Dynamics
Wednesday: 10:00 - 12:00, weekly (from 21/10/20) Description: This seminar is part of the meeting of the group „Computational Fluid Dynamics for Wind Physics“. We discuss current research topics with respect to differences and similarities in the approaches and tools. This seminar combines topics in wind energy research from the areas of data analysis and stochastics, Computational Fluid Dynamics Simulations and Meteorology. This seminar is part of the meeting of the group „Computational Fluid Dynamics for Wind Physics“. We discuss current research topics with respect to differences and similarities in the approaches and tools. This seminar combines topics in wind energy research from the areas of data analysis and stochastics, Computational Fluid Dynamics Simulations and Meteorology. |
Seminar | 2 |
Prof. Dr. Laura Lukassen |
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5.04.624b |
Introduction to Biomedical Physics and Acoustics
Tuesday: 12:00 - 14:00, weekly (from 22/10/20) Description: In dieser Veranstaltung stellen die Arbeitsgruppen der Fakultät 6, die sich mit Biomedizinischer Physik und Akustik beschäftigen, im Rahmen einer Ringvorlesung einführende Aspekte ihrer Bereiche vor. Hierbei handelt es sich um Medizinische Strahlenphysik, Audiologie, Signalverarbeitung und Akustik. This course is part of the Curriculum of the PhD programs "Auditory Science" and “Neurosensory Science and Systems". In dieser Veranstaltung stellen die Arbeitsgruppen der Fakultät 6, die sich mit Biomedizinischer Physik und Akustik beschäftigen, im Rahmen einer Ringvorlesung einführende Aspekte ihrer Bereiche vor. Hierbei handelt es sich um Medizinische Strahlenphysik, Audiologie, Signalverarbeitung und Akustik. This course is part of the Curriculum of the PhD programs "Auditory Science" and “Neurosensory Science and Systems". |
Lecture | - |
Prof. Dr. Björn Poppe Prof. Dr. Simon Doclo Prof. Dr. Steven van de Par Prof. Birger Kollmeier Dr. rer. nat. Hui Khee Looe |
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5.04.4588 |
Introduction to Transmission Electron Microscopy
Tuesday: 12:00 - 14:00, weekly (from 27/10/20) Description: Im Rahmen der Veranstaltung werden grundlegende Aspekte der Elektronenmikroskopie (mit einem Schwerpunkt auf der Transmissions-Elektronenmikroskopie) vorgestellt. Themen umfassen u.a.: Elektronenquellen, elektronen-optische Elemente, Elektronendetektoren, Wellenoptik, elastische und inelastische Wechselwirkung schneller Elektronen mit Materialien, Interpretation Bildkontrast, Methoden der Elektronenmikroskopie, aktuelle Forschungsfelder in der Elektronenmikroskopie. In der begleitenden Übung werden neben „traditionellen“ Übungsaufgaben auch quantitative Modelle zur Beschreibung der elektronen-optischen Bildentstehung entwickelt und mittels Matlab-Skripten implementiert. Vorkenntnisse in Matlab-Skripting sind nicht notwendig. Eine Matlab-Einführung wird angeboten. Im Rahmen der Veranstaltung werden grundlegende Aspekte der Elektronenmikroskopie (mit einem Schwerpunkt auf der Transmissions-Elektronenmikroskopie) vorgestellt. Themen umfassen u.a.: Elektronenquellen, elektronen-optische Elemente, Elektronendetektoren, Wellenoptik, elastische und inelastische Wechselwirkung schneller Elektronen mit Materialien, Interpretation Bildkontrast, Methoden der Elektronenmikroskopie, aktuelle Forschungsfelder in der Elektronenmikroskopie. In der begleitenden Übung werden neben „traditionellen“ Übungsaufgaben auch quantitative Modelle zur Beschreibung der elektronen-optischen Bildentstehung entwickelt und mittels Matlab-Skripten implementiert. Vorkenntnisse in Matlab-Skripting sind nicht notwendig. Eine Matlab-Einführung wird angeboten. |
Lecture | - |
Prof. Dr. Sascha Schäfer |
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5.06.M123 |
Solar Thermal
Friday: 12:00 - 14:00, weekly (from 23/10/20) Description: Students gain knowledge on: - Assessment of solar thermal ambient parameters: regional global, diffuse, reflected solar radiation on horizontal and on tilted plane, ambient temperature - Solar thermal collectors - Solar thermal heat exchangers - Solar thermal storages - Solar thermal systems and their operation - Characterization of solar thermal system - Asessment methods for solar system behaviour Students gain knowledge on: - Assessment of solar thermal ambient parameters: regional global, diffuse, reflected solar radiation on horizontal and on tilted plane, ambient temperature - Solar thermal collectors - Solar thermal heat exchangers - Solar thermal storages - Solar thermal systems and their operation - Characterization of solar thermal system - Asessment methods for solar system behaviour |
Lecture | 2 |
Dr. Herena Torio |
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5.04.4528 |
Computational Biophysics
Wednesday: 12:00 - 14:00, weekly (from 21/10/20) Description: The course will explore physical models and computational approaches used for the simulations of macromolecular systems. A mixture of lectures and hands-on tutorials will serve to provide a roadmap for setting investigations of macro-molecular structure and dynamics at the atomic level of detail. The course is based on practical exercises with the biophysical programs NAMD and VMD. In particular, the case studies of various biological systems will be discussed. Relevant physical concepts, mathematical techniques, and computational methods will be introduced, including force fields and algorithms used in molecular modeling and molecular dynamics on parallel computers The course will explore physical models and computational approaches used for the simulations of macromolecular systems. A mixture of lectures and hands-on tutorials will serve to provide a roadmap for setting investigations of macro-molecular structure and dynamics at the atomic level of detail. The course is based on practical exercises with the biophysical programs NAMD and VMD. In particular, the case studies of various biological systems will be discussed. Relevant physical concepts, mathematical techniques, and computational methods will be introduced, including force fields and algorithms used in molecular modeling and molecular dynamics on parallel computers |
Lecture | - |
Prof. Dr. Ilia Solov'yov |
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5.04.612 |
Mechanics
Monday: 16:15 - 17:45, weekly (from 19/10/20), Location: (online) Tuesday: 16:15 - 17:45, weekly (from 20/10/20), Location: (online) Dates on Monday. 15.02.21 13:30 - 15:30, Monday. 22.03.21 11:30 - 13:30, Location: W03 1-156, W03 1-161 (Hörsaal) Description: Achtung - die Veranstaltung findet online statt. Introduction into scientific reasoning; understanding the basic physical principles that govern physical behaviour in the real world, application of these principles to solve practical problems. General introduction to the fundamentals of experimental mechanics. Achtung - die Veranstaltung findet online statt. Introduction into scientific reasoning; understanding the basic physical principles that govern physical behaviour in the real world, application of these principles to solve practical problems. General introduction to the fundamentals of experimental mechanics. |
Lecture | 2 |
Prof. Dr. Martin Kühn |
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5.04.255Ü1 |
Programming course C++ (Programmierkurs C++)
Tuesday: 12:15 - 13:45, weekly (from 20/10/20), Übung Programmierkurs C++ Description: Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples |
Exercises | 2 |
Arsalan Najeeb Dr. Stefan Harfst |
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5.04.624a |
Introduction to Laser & Optics
Wednesday: 10:00 - 12:00, weekly (from 21/10/20) Description: Introduction to relevant research fields in Laser and Optics. Knowledge of the characteristics of waves, optical radiation, design und function of optical elements and instruments, basic design of photonic systems and optical metrology. Introduction to relevant research fields in Laser and Optics. Knowledge of the characteristics of waves, optical radiation, design und function of optical elements and instruments, basic design of photonic systems and optical metrology. |
Lecture | - |
Prof. Dr.-Ing. Philipp Huke |
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5.04.4214 |
Advanced Models and Algorithms in Machine Learning
Monday: 08:00 - 10:00, weekly (from 19/10/20) Description: The students will learn about recent developments and state-of-the-art approaches in Machine Learning, and their applications to different data domains. By presenting scientific studies in the context of currently used models and their applications, they will learn to understand and communicate recent scientific results. The presentations will use computers and projectors. Programming examples and animations will be used to support the interactive component of the presentations. In scientific discussions of the presented and related work, the students will obtain knowledge about current limitations of Machine Learning approaches both on the theoretical side and on the side of their technical and practical realizations. Presentations of interdisciplinary research will enable the students to carry over their Machine Learning knowledge to address questions in other scientific domains. Contents: In this seminar recent developments of models and algorithms in Machine Learning will be studied. Advances of established modelling approaches and new approaches will be presented and discussed along with the applications of different current algorithms to application domains including: auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis and inpainting. Furthermore, Machine Learning approaches as models for neural data processing will be discussed and related to current questions in Computational Neuroscience. The students will learn about recent developments and state-of-the-art approaches in Machine Learning, and their applications to different data domains. By presenting scientific studies in the context of currently used models and their applications, they will learn to understand and communicate recent scientific results. The presentations will use computers and projectors. Programming examples and animations will be used to support the interactive component of the presentations. In scientific discussions of the presented and related work, the students will obtain knowledge about current limitations of Machine Learning approaches both on the theoretical side and on the side of their technical and practical realizations. Presentations of interdisciplinary research will enable the students to carry over their Machine Learning knowledge to address questions in other scientific domains. Contents: In this seminar recent developments of models and algorithms in Machine Learning will be studied. Advances of established modelling approaches and new approaches will be presented and discussed along with the applications of different current algorithms to application domains including: auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis and inpainting. Furthermore, Machine Learning approaches as models for neural data processing will be discussed and related to current questions in Computational Neuroscience. |
Seminar | 2 |
Prof. Dr. Jörg Lücke |
|
5.06.M113 |
Primer in RE
Tuesday: 08:15 - 09:45, weekly (from 20/10/20) Thursday: 08:15 - 09:45, weekly (from 05/11/20) Description: Introduction to Simulation & Modelling Introduction to Simulation & Modelling |
Lecture | 2 |
Dr. Herena Torio Paul Ziethe Andreas Günther |
|
5.04.612Ü3 |
Exercises Mechanics
Friday: 10:15 - 11:45, weekly (from 23/10/20) Description: |
Exercises | 2 |
M. Sc. Arjun Anantharaman Prof. Dr. Martin Kühn |
|
5.04.255Ü2 |
Programming course C++ (Programmierkurs C++)
Tuesday: 14:15 - 15:45, weekly (from 20/10/20) Description: Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples |
Exercises | 2 |
Arsalan Najeeb Dr. Stefan Harfst |
|
5.04.709 |
Berufsfeldbezogenes Praktikum Engineering Physics
Dates on Tuesday. 20.10.20 16:00 - 18:00
Description: Anmeldung: "prx108_110_Berufsfeldbezogenes_Praktikum_Praxismodul_Engineering_Physics.xlsx" (siehe Dateien) ausfüllen. Termine: 1. Vorlesungswoche im WiSe 2. Vorlesungswoche im SoSe - April 2020 Hinweise zur Praxisphase: 1. Vor Antritt der Praxisphase eine Betreuerin / einen Betreuer an den beteiligten Hochschulen suchen. Liste siehe: https://uol.de/fileadmin/user_upload/f5/download/Studium_und_Lehre/Prueferlisten/2018/4_15IfP_PL_FBa_EngineeringPhysics.pdf 2. Praxisstelle suchen. Die thematische und zeitliche Verknüpfung mit der Bachelor Thesis ist möglich. Es sind zwei getrennte Prüfungsleistungen erforderlich. Genauere Absprache erfolgt mit den jeweiligen Betreuenden. 3. Durchführung (Dauer: 2 Monate) 4. Anerkennung: - Erforderliche Unterlagen lt. Prüfungsordnung (Bericht/Poster…) erstellen und Betreuerin/Betreuer zur Benotung vorlegen. Das Poster kann zeitlich unabhängig von der Präsentation bewertet werden. - Anmeldung zur Posterpräsentation unter Stud IP: 5.04.709 Berufsfeldbezogenes Praktikum Engineering Physcis, Datei prx108_110 Berufsfeldbezogenes Praktikum_Praxismodul Engineering Physics ausfüllen - (Falls die Veröffentlichung erlaubt ist: Hochladen der Poster-Datei unter Stud IP 5.04.709 (Dateiname: Name_Betreuer_Semester_Titel)) - Präsentation des Posters Termine i.d.R. jeweils im April (Sommersemester) und in der O-Woche im Oktober (Wintersemester) in der Woche vor Semesterbeginn. Poster direkt mit zur Veranstaltung bringen und anschließend abgeben. Erläuterung des Inhalts (ca. 5 min) und Diskussion erfolgt am Poster in wechselnden Einzel- oder Kleingruppen. (Es ist keine extra PowerPoint Präsentation nötig.) Betreuerinnen und Betreuer der Hochschulen und Firmen sind herzlich eingeladen. - Minimale Angeben auf dem Poster: Titel, Name, Email-Adresse, Studiengang, Betreuer Hochschule & Firma, Logo’s beider Hochschule & Firma, Größe 70cm x 100cm. Poster, die schon auf Konferenzen präsentiert worden sind, können abweichen. Serviceleistung: Posterdruck an der HS Emden/Leer - Kostenloser Posterdruck für wissenschaftliche Zwecke bei vorhandenem Druckkontingent (1200 A4 Seiten/Semester) - Account beantragen/verlängern (mind. 2 Wochen Vorlaufzeit): engineering.physics@hs-emden-leer.de - Posterdatei (PDF) per email an plotter@hs-emden-leer.de schicken. Mindestens eine Woche Vorlaufzeit einplanen. - Nachricht an sandra.koch@hs-emden-leer.de, falls das Poster aus Emden direkt zur Präsentation mitgebracht werden soll. Ablauf der Posterpräsentation: - Poster aufhängen (Pinnwand und Nadeln sind vorhanden) - Kurze Erläuterung vorbereiten (ca. 5 min) - Evtl. Handout/Poster in A4 zum Verteilen erstellen - In lockerer Atmosphäre das eigene Poster einzelnen Personen oder Kleingruppen erläutern und selbst andere Poster ansehen. - Die Poster werden am Ende der Veranstaltung eingesammelt. Anmeldung: "prx108_110_Berufsfeldbezogenes_Praktikum_Praxismodul_Engineering_Physics.xlsx" (siehe Dateien) ausfüllen. Termine: 1. Vorlesungswoche im WiSe 2. Vorlesungswoche im SoSe - April 2020 Hinweise zur Praxisphase: 1. Vor Antritt der Praxisphase eine Betreuerin / einen Betreuer an den beteiligten Hochschulen suchen. Liste siehe: https://uol.de/fileadmin/user_upload/f5/download/Studium_und_Lehre/Prueferlisten/2018/4_15IfP_PL_FBa_EngineeringPhysics.pdf 2. Praxisstelle suchen. Die thematische und zeitliche Verknüpfung mit der Bachelor Thesis ist möglich. Es sind zwei getrennte Prüfungsleistungen erforderlich. Genauere Absprache erfolgt mit den jeweiligen Betreuenden. 3. Durchführung (Dauer: 2 Monate) 4. Anerkennung: - Erforderliche Unterlagen lt. Prüfungsordnung (Bericht/Poster…) erstellen und Betreuerin/Betreuer zur Benotung vorlegen. Das Poster kann zeitlich unabhängig von der Präsentation bewertet werden. - Anmeldung zur Posterpräsentation unter Stud IP: 5.04.709 Berufsfeldbezogenes Praktikum Engineering Physcis, Datei prx108_110 Berufsfeldbezogenes Praktikum_Praxismodul Engineering Physics ausfüllen - (Falls die Veröffentlichung erlaubt ist: Hochladen der Poster-Datei unter Stud IP 5.04.709 (Dateiname: Name_Betreuer_Semester_Titel)) - Präsentation des Posters Termine i.d.R. jeweils im April (Sommersemester) und in der O-Woche im Oktober (Wintersemester) in der Woche vor Semesterbeginn. Poster direkt mit zur Veranstaltung bringen und anschließend abgeben. Erläuterung des Inhalts (ca. 5 min) und Diskussion erfolgt am Poster in wechselnden Einzel- oder Kleingruppen. (Es ist keine extra PowerPoint Präsentation nötig.) Betreuerinnen und Betreuer der Hochschulen und Firmen sind herzlich eingeladen. - Minimale Angeben auf dem Poster: Titel, Name, Email-Adresse, Studiengang, Betreuer Hochschule & Firma, Logo’s beider Hochschule & Firma, Größe 70cm x 100cm. Poster, die schon auf Konferenzen präsentiert worden sind, können abweichen. Serviceleistung: Posterdruck an der HS Emden/Leer - Kostenloser Posterdruck für wissenschaftliche Zwecke bei vorhandenem Druckkontingent (1200 A4 Seiten/Semester) - Account beantragen/verlängern (mind. 2 Wochen Vorlaufzeit): engineering.physics@hs-emden-leer.de - Posterdatei (PDF) per email an plotter@hs-emden-leer.de schicken. Mindestens eine Woche Vorlaufzeit einplanen. - Nachricht an sandra.koch@hs-emden-leer.de, falls das Poster aus Emden direkt zur Präsentation mitgebracht werden soll. Ablauf der Posterpräsentation: - Poster aufhängen (Pinnwand und Nadeln sind vorhanden) - Kurze Erläuterung vorbereiten (ca. 5 min) - Evtl. Handout/Poster in A4 zum Verteilen erstellen - In lockerer Atmosphäre das eigene Poster einzelnen Personen oder Kleingruppen erläutern und selbst andere Poster ansehen. - Die Poster werden am Ende der Veranstaltung eingesammelt. |
Practical course | - |
Dr. rer. nat. Sandra Koch Bert Struve |
|
5.04.6570 |
Fundamentals of Optics
Monday: 09:00 - 13:00, weekly (from 26/10/20) Description: First meeting Monday, 9-13, Emden, T141 The students acquire broad theoretical and experimental knowledge of optics together with the necessary physical background. In the laboratory they acquire practical skills during application of their knowledge from lecture. The module prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Fundamental and advanced concepts of optics. Topics include: reflection and refraction, optical properties of matter, polarisation, dielectric function and complex index of refraction, evanescent waves, dispersion and absorption of light, Seidel’s abberations, Sellmeier’s equations, optical systems, wave optics, Fourier analysis, wave packets, chirp, interference, interferometry, spatial and temporal coherence, diffraction (Huygens, Fraunhofer, Fresnel), focussing and optical resolution, brilliance, Fourier optics, optics at short wavelengths (extreme UV and X-rays). First meeting Monday, 9-13, Emden, T141 The students acquire broad theoretical and experimental knowledge of optics together with the necessary physical background. In the laboratory they acquire practical skills during application of their knowledge from lecture. The module prepares the students to work in the field of optical science and engineering in general, and yields the base for all further specialisations within the field of optics and laser technology. Content: Fundamental and advanced concepts of optics. Topics include: reflection and refraction, optical properties of matter, polarisation, dielectric function and complex index of refraction, evanescent waves, dispersion and absorption of light, Seidel’s abberations, Sellmeier’s equations, optical systems, wave optics, Fourier analysis, wave packets, chirp, interference, interferometry, spatial and temporal coherence, diffraction (Huygens, Fraunhofer, Fresnel), focussing and optical resolution, brilliance, Fourier optics, optics at short wavelengths (extreme UV and X-rays). |
Lecture | - |
Ulrich Teubner |
|
5.06.M311 |
Hydro- & Marine Power
Dates on Monday. 19.10.20, Thursday. 22.10.20 - Friday. 23.10.20, Monday. 26.10.20 10:15 - 11:45, Monday. 26.10.20 11:45 - 14:00, Thur ...(more), Location: W16A 004, W02 1-148
Description: Lecture Goal and Competencies: The lecture Hydro Power I seeks to familiarize students with technological, socioeconomic and ecological aspects. Students get acquainted with basics of the technical components of Hydro Power (HP) and Ocean Power (OP) systems: their setup, their operation, their specific challenges and their linkages with one another. At the end of this unit students may size a HP for given local geographic and hydrological conditions on a basic level. They can describe the entire setup as well as individual components. They are aware of basic challenges beyond the technical problems of HP and OP systems. Students are in the position to list advantages and disadvantages of HP and OP in comparison with other renewable energy technology. Detailed Content*: • 2h Theoretical background – general hydraulic terms, Bernoulli Equation, Major Empirical Formulae and their backgrounds. • 2h Water Resource – catchment area, seasonal precipitation, flow duration curve, dam, & run off river. • 2h Powerhouse – penstock, water hammer, cavitation, tailrace. • 4h Turbines – main types of turbines, their characteristics & their components. • 3h Ocean Power Overview * indicated times are face-to-face times. Lecture Goal and Competencies: The lecture Hydro Power I seeks to familiarize students with technological, socioeconomic and ecological aspects. Students get acquainted with basics of the technical components of Hydro Power (HP) and Ocean Power (OP) systems: their setup, their operation, their specific challenges and their linkages with one another. At the end of this unit students may size a HP for given local geographic and hydrological conditions on a basic level. They can describe the entire setup as well as individual components. They are aware of basic challenges beyond the technical problems of HP and OP systems. Students are in the position to list advantages and disadvantages of HP and OP in comparison with other renewable energy technology. Detailed Content*: • 2h Theoretical background – general hydraulic terms, Bernoulli Equation, Major Empirical Formulae and their backgrounds. • 2h Water Resource – catchment area, seasonal precipitation, flow duration curve, dam, & run off river. • 2h Powerhouse – penstock, water hammer, cavitation, tailrace. • 4h Turbines – main types of turbines, their characteristics & their components. • 3h Ocean Power Overview * indicated times are face-to-face times. |
Miscellaneous | - |
Hans-Gerhard Holtorf, PhD |
|
5.04.637 |
Laboratory Project I
Thursday: 09:00 - 13:00, weekly (from 22/10/20), Gruppe A Thursday: 14:00 - 18:00, weekly (from 22/10/20), Gruppe B Dates on Tuesday. 20.10.20 14:14 - 15:15 Description: Lab project I has to take place at the University of Applied Science/Emden. Lab project II is related to the specialization. Please subscribe to the list of lab projects I in time, as announced. Introductory class will be given online. Participation at the introduction session and final session is mandatory. Detailed project information can be given by the supervisor. List of Projects: see "Dateien". Lab project I has to take place at the University of Applied Science/Emden. Lab project II is related to the specialization. Please subscribe to the list of lab projects I in time, as announced. Introductory class will be given online. Participation at the introduction session and final session is mandatory. Detailed project information can be given by the supervisor. List of Projects: see "Dateien". |
Practical | - |
Dr. rer. nat. Sandra Koch Markus Schellenberg Bert Struve Ulrich Teubner Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr.-Ing. Thomas Schüning Stefan Wild Lars Jepsen Sabine Tiedeken Volker Braun Prof. Dr.-Ing. Philipp Huke Georges Makdissi |
|
5.04.4669 |
Laser Material Processing
Thursday: 10:00 - 14:00, weekly (from 22/10/20), online Dates on Tuesday. 09.02.21 13:00 - 14:30 Description: Fundamental knowledge of the characteristics of the laser beam, Knowledge of laser sources for industrial applications, knowledge of procedures of the material processing with laser beams. Knowledge of the physical-technical procedures of the individual manufacturing processes with laser beams; Ability for the estimation of favorable working parameters; The participants should be able to understand the procedures of the material processing with laser beams and evaluate the tasks of manufacturing. Content Overview of the procedures of the material processing with laser beams: Procedure, allocation of the procedures in relation to production engineering the laser beam as tool. Deepening treatment of the manufacturing processes with laser beams in relation of quality, speed and costs. The manufacturing processes are: Cutting procedure, joining process, surface processing, material property changing, generative process. Examples from the industrial manufacturing. Fundamental knowledge of the characteristics of the laser beam, Knowledge of laser sources for industrial applications, knowledge of procedures of the material processing with laser beams. Knowledge of the physical-technical procedures of the individual manufacturing processes with laser beams; Ability for the estimation of favorable working parameters; The participants should be able to understand the procedures of the material processing with laser beams and evaluate the tasks of manufacturing. Content Overview of the procedures of the material processing with laser beams: Procedure, allocation of the procedures in relation to production engineering the laser beam as tool. Deepening treatment of the manufacturing processes with laser beams in relation of quality, speed and costs. The manufacturing processes are: Cutting procedure, joining process, surface processing, material property changing, generative process. Examples from the industrial manufacturing. |
Lecture | 4 |
Knut Partes |
|
5.04.898 |
Bremen Oldenburg Relativity Seminar
Friday: 16:00 - 18:00, weekly (from 23/10/20) Description: |
Seminar | - |
Prof. Dr. Jutta Kunz-Drolshagen Claus Lämmerzahl |
|
5.06.M109 |
Fluids
Monday: 13:00 - 17:45, weekly (from 19/10/20) Tuesday: 13:00 - 17:45, weekly (from 20/10/20) Thursday: 13:00 - 17:45, weekly (from 22/10/20) Description: |
Practical | - |
Hans-Gerhard Holtorf, PhD |
|
5.04.4070 |
Fluid Dynamics I / Fluiddynamik I
Tuesday: 12:00 - 14:00, weekly (from 20/10/20), 00 Dates on Monday. 29.03.21 08:00 - 09:30 Description: Fluiddynamik I: Grundgleichungen: Navier-Stokes-Gleichung, Kontinuitätsgleichung, Bernoulli-Gleichung; Wirbel- und Energiegleichungen; Laminare Flüsse und Stabilitätsanalyse; exakte Lösungen, Anwendungen Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." Fluiddynamik I: Grundgleichungen: Navier-Stokes-Gleichung, Kontinuitätsgleichung, Bernoulli-Gleichung; Wirbel- und Energiegleichungen; Laminare Flüsse und Stabilitätsanalyse; exakte Lösungen, Anwendungen Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." |
Lecture | - |
Prof. Dr. Laura Lukassen |
|
5.04.4243 a |
Python Programming in Energy Science I
Monday: 13:00 - 16:00, weekly (from 23/11/20) Dates on Monday. 02.11.20 14:00 - 16:00, Monday. 09.11.20, Monday. 16.11.20, Monday. 30.11.20, Monday. 14.12.20, Monday. 11.01.21, Monday. 25.01.21 14:30 - 16:00 Description: This course addresses students studying in the field of energy science. It is tailored to introduce students to the extremely popular programming language Python, which is widely used in energy research (and beyond). Please bring your own laptop - this course will feature hands-on programming and practical exercises. This programming course consists of two courses (5.04.4243 a and b; 3+3 CP), starting in the winter term 2020/21. The second part will be taught during the summer term 2021. This course addresses students studying in the field of energy science. It is tailored to introduce students to the extremely popular programming language Python, which is widely used in energy research (and beyond). Please bring your own laptop - this course will feature hands-on programming and practical exercises. This programming course consists of two courses (5.04.4243 a and b; 3+3 CP), starting in the winter term 2020/21. The second part will be taught during the summer term 2021. |
Lecture | - |
Dr. Jonas Schmidt Dr. Martin Dörenkämper Dr. Lukas Vollmer Dr. Hassan Kassem |
|
5.04.905 |
Nonlinear and strong-field optics
Wednesday: 16:00 - 18:00, weekly (from 21/10/20) Description: Students will acquire knowledge in nonlinear optics and deepen their understanding of general optics, laser physics, and ultrashort pulses. They will deepen the understanding of light-matter interaction in classical as well as quantum mechanical frames, which can be a basis for further studies, e.g., in ultrafast physics, attosecond physics, linear and nonlinear spectroscopy, nonlinear microscopy techniques, and many more. They will get to know many specific applications, such as frequency doubling, frequency conversion processes, supercontinuum generation in nonlinear fibers, stimulated Raman scattering, ultrafast switching or ultrafast electron microscopy. The lecture will prepare for a master thesis bearing connection to optics. Inhalt: • Nonlinear susceptibility and nonlinear light-matter interaction • Coupled wave equation and phase matching • Intensity-dependent refractive index • Quantum mechanical treatment: perturbation theory and density matrix calculations • Brillouin and Raman scattering, multiphoton absorption and photoemission • Ultrafast and intense light fields: field-driven effects • High field strengths, strong-field nano-optics, ultrafast switching and ultrafast electron microscopy Students will acquire knowledge in nonlinear optics and deepen their understanding of general optics, laser physics, and ultrashort pulses. They will deepen the understanding of light-matter interaction in classical as well as quantum mechanical frames, which can be a basis for further studies, e.g., in ultrafast physics, attosecond physics, linear and nonlinear spectroscopy, nonlinear microscopy techniques, and many more. They will get to know many specific applications, such as frequency doubling, frequency conversion processes, supercontinuum generation in nonlinear fibers, stimulated Raman scattering, ultrafast switching or ultrafast electron microscopy. The lecture will prepare for a master thesis bearing connection to optics. Inhalt: • Nonlinear susceptibility and nonlinear light-matter interaction • Coupled wave equation and phase matching • Intensity-dependent refractive index • Quantum mechanical treatment: perturbation theory and density matrix calculations • Brillouin and Raman scattering, multiphoton absorption and photoemission • Ultrafast and intense light fields: field-driven effects • High field strengths, strong-field nano-optics, ultrafast switching and ultrafast electron microscopy |
Lecture | - |
Priv.-Doz. Dr. Petra Groß, Ph.D. |
|
5.04.638 |
Mathematical Methods for Physics and Engineering III
Monday: 12:00 - 14:00, weekly (from 19/10/20) Dates on Monday. 08.02.21 14:00 - 16:00 Description: Aim: To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering. Content: Complex analysis (derivatives, integration, Taylor and Laurent series, residue theorem) Fourier and Laplace transforms Ordinary differential equations Partial differential equations Aim: To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering. Content: Complex analysis (derivatives, integration, Taylor and Laurent series, residue theorem) Fourier and Laplace transforms Ordinary differential equations Partial differential equations |
Lecture | 2 |
Prof. Dr. Volker Hohmann, Dipl.-Phys. |
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5.04.4213 Ü1 |
Machine Learning I - Probabilistic Unsupervised Learning
Tuesday: 16:00 - 18:00, weekly (from 03/11/20) Description: |
Exercises | - |
Prof. Dr. Jörg Lücke |
|
5.04.255Ü4 |
Programming course C++ (Programmierkurs C++)
Friday: 14:15 - 15:45, weekly (from 23/10/20), Übung Programmierkurs C++ Description: Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples |
Exercises | 2 |
Chinmay Chandratre Dr. Stefan Harfst |
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5.04.656 |
Seminar Fortgeschrittene Themen in EP / Advanced Topics in EP
Friday: 10:00 - 12:00, weekly (from 20/11/20) Description: Participation = 14 times during 1st to 3rd semester (register for general information) Presentation = ONCE in the last (4th semester). Register and chose a group to book the date for the presentation. Master thesis work in progress or finished; at least one successfully completed specialization module. The seminar is open to all EP students, bachelor as well as master students. If you're into your master thesis or finished up already please propose the topic of your talk and include an abstract, maximum quarter page size, pdf format. You have to book the desired date of your presentation via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." and submit name, topic, and abstract. Each date is to be filled with 2 participants. You'll see immediately the actual status of the schedule (cf. Documents) It is mandatory that you upload above mentioned data on StudIP, e.g. titel & abstract (template: date_name_title.pdf). The presentation and written notes need to be uploaded to StudIP "Documents" likewise at least a week before your scheduled date. Participation = 14 times during 1st to 3rd semester (register for general information) Presentation = ONCE in the last (4th semester). Register and chose a group to book the date for the presentation. Master thesis work in progress or finished; at least one successfully completed specialization module. The seminar is open to all EP students, bachelor as well as master students. If you're into your master thesis or finished up already please propose the topic of your talk and include an abstract, maximum quarter page size, pdf format. You have to book the desired date of your presentation via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." and submit name, topic, and abstract. Each date is to be filled with 2 participants. You'll see immediately the actual status of the schedule (cf. Documents) It is mandatory that you upload above mentioned data on StudIP, e.g. titel & abstract (template: date_name_title.pdf). The presentation and written notes need to be uploaded to StudIP "Documents" likewise at least a week before your scheduled date. |
Seminar | - |
Iván Herráez |
|
5.04.4218 |
Auditory Scene Analysis in Speech and Music
Monday: 16:00 - 18:00, weekly (from 19/10/20) Description: |
Lecture | 2 |
Kai Siedenburg |
|
5.04.301Ü3 |
Online Exercise: Solid-state physics
Thursday: 12:15 - 13:45, weekly (from 22/10/20) Description: |
Exercises | 2 |
M. Sc. Ashwin Hariharan Prof. Dr. Sascha Schäfer |
|
5.04.255Ü6 |
Programming course C++ (Programmierkurs C++)
Friday: 12:15 - 13:45, weekly (from 23/10/20) Description: Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples Aim/ learning outcomes: • learning of the programming language C++ and understanding of basic concepts of programming • finding and correcting programming errors • development of computer programs and organization of complex projects • working with software libraries • independent analysis of scientific problems and their implementation in C++ Content: Linux basics, the C++ programming language (e.g. data types, loops, functions, classes, templates), compiler (function, process), OpenSource tools (e.g. make, gnuplot), implementation of numerical algorithms as application examples |
Exercises | - |
Chinmay Chandratre Dr. Stefan Harfst |
|
5.04.4070Ü |
Übung zu Fluid Dynamics I / Fluiddynamik I
Tuesday: 14:00 - 16:00, weekly (from 20/10/20) Description: |
Exercises | 2 |
Prof. Dr. Laura Lukassen |
|
5.04.4238 |
Wind Physics Student's Lab (Wind2Grid)
Tuesday: 10:00 - 14:00, weekly (from 20/10/20) Dates on Thursday. 10.12.20 13:30 - 16:00, Thursday. 17.12.20 09:00 - 13:00 Description: The “Wind Physics Student’s Lab” aims to foster the learning processes in courses and seminars by own research activities of the students in wind physics. The course is offered in the scope of the initiative FLiF+ (German: “Forschendes Lernen im Focus”) at the University Oldenburg (see https://www.uni-oldenburg.de/flif/) and is organised as seminar with integrated work in the laboratory. Groups of two students each will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. In order to introduce the students to current wind energy research, each of three research groups at ForWind – University Oldenburg will supervise one seminar in a certain field. These topical seminars will be offered in subsequent semesters or in parallel. Each semester the available seminars will be announced. The seminar “Dynamics and control of grid-connected wind turbines“ is related to the work of the research group Wind Energy Systems (WESys). It intends to give a deeper insight into two fields of wind engineering: One is the grid connection and interaction of wind turbines and the other is their operational control as special case in the field of control engineering. The seminar uses an experimental system which allows to investigate control tasks and interaction mechanisms of the functional chain of wind field, rotor, drive train, generator, transformer and electric grid. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • identification of the technical tasks • introduction to current research • introduction to the experiment • investigating standard situations, physical effects and functional principles by means of the experimental system 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of the experiment 3rd phase: Evaluation and documentation • evaluating the experiment • documentation with a short report (paper) • presentation. The “Wind Physics Student’s Lab” aims to foster the learning processes in courses and seminars by own research activities of the students in wind physics. The course is offered in the scope of the initiative FLiF+ (German: “Forschendes Lernen im Focus”) at the University Oldenburg (see https://www.uni-oldenburg.de/flif/) and is organised as seminar with integrated work in the laboratory. Groups of two students each will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. In order to introduce the students to current wind energy research, each of three research groups at ForWind – University Oldenburg will supervise one seminar in a certain field. These topical seminars will be offered in subsequent semesters or in parallel. Each semester the available seminars will be announced. The seminar “Dynamics and control of grid-connected wind turbines“ is related to the work of the research group Wind Energy Systems (WESys). It intends to give a deeper insight into two fields of wind engineering: One is the grid connection and interaction of wind turbines and the other is their operational control as special case in the field of control engineering. The seminar uses an experimental system which allows to investigate control tasks and interaction mechanisms of the functional chain of wind field, rotor, drive train, generator, transformer and electric grid. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • identification of the technical tasks • introduction to current research • introduction to the experiment • investigating standard situations, physical effects and functional principles by means of the experimental system 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of the experiment 3rd phase: Evaluation and documentation • evaluating the experiment • documentation with a short report (paper) • presentation. |
Seminar | - |
Prof. Dr. Martin Kühn Prof. Dr. Joachim Peinke Dr. Detlev Heinemann Dipl.-Ing. Andreas Hermann Schmidt |
|
5.04.638 Ü1 |
Exercises Mathematical Methods for Physics and Engineering III
Monday: 16:15 - 17:45, weekly (from 19/10/20) Description: |
Exercises | - |
Dr. Michele Guerrini |
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5.06.M125 |
Basics of Wind Energy
Monday: 10:00 - 12:00, weekly (from 14/12/20) Thursday: 10:00 - 12:00, weekly (from 17/12/20) Friday: 10:00 - 12:00, weekly (from 18/12/20) Dates on Monday. 25.01.21 10:00 - 12:00 Description: |
Lecture | 2 |
Dr. Michael Hölling |
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5.06.M105 |
Radiation & Matter
Monday: 13:00 - 17:45, weekly (from 19/10/20) Tuesday: 13:00 - 17:45, weekly (from 20/10/20) Thursday: 13:00 - 17:45, weekly (from 22/10/20) Description: |
Practical | - |
Dr. Herena Torio |
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5.04.4652 |
Stochastic Processes in Experiments
Thursday: 12:00 - 14:00, weekly (from 22/10/20) Description: Die Studierenden erwerben fortgeschrittene Kenntnisse auf dem Gebiet der nichtlinearen Dynamik experimenteller Systeme. Sie erlangen Fertigkeiten zum sicheren und selbstständigen Umgang mit modernen Konzepten und Methoden der Analyse von Messdaten komplexer Systeme. Sie erweitern ihre Kompetenzen hinsichtlich der Fähigkeiten zur erfolgreichen Bearbeitung anspruchsvoller Probleme mit modernen analytischen und numerischen Methoden, zur selbstständigen Erarbeitung aktueller Fachveröffentlichungen sowie der Bedeutung stochastischer Differentialgleichungen im Kontext unterschiedlicher Anwendungen. Inhalte: Theoretische Grundlagen stochastischer Differentialgleichungen und der Bestimmung ihrer Parameter. Darstellung verschiedener Beispiele für die Schätzung der Parameter stochastischer Differentialgleichungen aus experimentellen Daten unter Berücksichtigung der Besonderheiten der jeweils untersuchten experimentellen Systeme. Die Studierenden erwerben fortgeschrittene Kenntnisse auf dem Gebiet der nichtlinearen Dynamik experimenteller Systeme. Sie erlangen Fertigkeiten zum sicheren und selbstständigen Umgang mit modernen Konzepten und Methoden der Analyse von Messdaten komplexer Systeme. Sie erweitern ihre Kompetenzen hinsichtlich der Fähigkeiten zur erfolgreichen Bearbeitung anspruchsvoller Probleme mit modernen analytischen und numerischen Methoden, zur selbstständigen Erarbeitung aktueller Fachveröffentlichungen sowie der Bedeutung stochastischer Differentialgleichungen im Kontext unterschiedlicher Anwendungen. Inhalte: Theoretische Grundlagen stochastischer Differentialgleichungen und der Bestimmung ihrer Parameter. Darstellung verschiedener Beispiele für die Schätzung der Parameter stochastischer Differentialgleichungen aus experimentellen Daten unter Berücksichtigung der Besonderheiten der jeweils untersuchten experimentellen Systeme. |
Seminar | 2 |
Dr. Matthias Wächter, Dipl.-Phys. |
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5.04.301Ü5 |
Exercise: Solid-state physics
Wednesday: 18:15 - 19:45, weekly (from 28/10/20) Description: |
Exercises | 2 |
Alexander Schröder Prof. Dr. Sascha Schäfer |
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5.04.256a |
Introduction to Matlab
Monday: 10:00 - 12:00, weekly (from 19/10/20) Friday: 08:00 - 10:00, weekly (from 23/10/20) Dates on Monday. 25.01.21 10:00 - 12:15, Friday. 29.01.21 08:00 - 10:15, Monday. 01.02.21 10:00 - 12:15 Description: Corona Update: Due to the Covid-19 pandemic, both the lecture and the exercise will take place exclusively online. This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. It contains a lecture (Mondays) and an exercise (Fridays). There will be exercises and a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming Corona Update: Due to the Covid-19 pandemic, both the lecture and the exercise will take place exclusively online. This course is geared towards Engineering Physics students in their 3rd Semester. Please consider subscribing for an other lecture if you are already in a higher semester or even in your Master study. It contains a lecture (Mondays) and an exercise (Fridays). There will be exercises and a programming project in the end of the semester including an oral colloquium about your project work. Students acquire knowledge of the most important ideas and methods of computer science including one programming language. Content: - General fundamentals of computer systems - Input/output - Numbers, characters, arrays, strings - Algorithms - Programming language (Matlab) - Functions (procedural programming) - Program files (modular programming) - Introduction to GUI programming |
Lecture | - |
Markus Schellenberg |
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5.06.M101 |
Introductory Laboratory
Dates on Tuesday. 06.10.20 14:30 - 16:30, Wednesday. 07.10.20 08:00 - 12:30, Thursday. 08.10.20 13:00 - 17:30, Friday. 09.10.20 14:15 ...(more)
Description: |
Practical | - |
Dr. Herena Torio Cuauhtemoc Adrian Jimenez Martinez Dr. Robin Knecht |
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5.04.4213 Ü3 |
Machine Learning I - Probabilistic Unsupervised Learning
Tuesday: 16:00 - 18:00, weekly (from 27/10/20) Description: |
Exercises | - |
Seyyed Hamid Mousavi Hashemi Prof. Dr. Jörg Lücke |
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5.06.998 |
PPRE - Sprechstunde
Friday: 12:15 - 15:45, weekly (from 23/10/20) Description: |
Miscellaneous | - |
Eduard Knagge, Dipl.-Ing. Hans-Gerhard Holtorf, PhD Andreas Günther Dr. Herena Torio Cuauhtemoc Adrian Jimenez Martinez Dr. Robin Knecht |
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5.04.645 |
Control Systems / Control Theory
Tuesday: 12:00 - 14:00, weekly (from 20/10/20) Friday: 10:00 - 12:00, weekly (from 23/10/20) Dates on Friday. 26.02.21 10:00 - 12:00 Description: |
Lecture | - |
Prof. Dr.-Ing. Philipp Huke |
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92 Seminars |